Lessons Learned Implementing Early Intervention Systems in Charlotte and Nashville, Part 1 From the company’s creation, Netflix has relied on the scalability and accuracy of machine learning to deliver content [...]

Representativeness Analysis: How Our Data Reflects the Real Labor Market Dynamics This month, we will discuss the representativeness of Data@Work Research Hub data. The Data@Work Research Hub is a collection [...]

Introducing the Training Provider Outcomes Toolkit Trying to find a good job training program can be daunting. How do you know if the skills they teach are valuable in the [...]

Introducing the Data@Work Research Hub and Funding Opportunity With the rapid growth and adoption of technologies like artificial intelligence having uncertain and disparate effects on labor markets, the need for [...]

Data-Driven Inspections for Safer Housing in San Jose, California The Multiple Housing team in San Jose’s Code Enforcement Office is tasked with protecting the occupants of properties with three or [...]

Combining Data and Behavioral Science to Reduce Water Shut Offs Behavioral science and psychology can help explain the underlying reasons for seemingly irrational behavior which cities aim to address, such [...]

Introducing pgdedupe! Combining datasets and performing large aggregate analyses are powerful new ways to improve service across large populations. Critically important in this task is the deduplication of identities across [...]

Connecting the Dots for Better Outcomes The most vulnerable individuals in society often struggle with long-lasting, multi-faceted challenges such as mental illness, substance abuse, chronic health conditions, and homelessness. Individuals [...]

Data Science for Social Good Fellowship Update We wanted to share an update with you from the Data Science for Social Good Fellowship team. Based on the funding situation and [...]